Senior AI-Enabled Manufacturing Solutions Leader

EY; Toledo (OH); On-site; USD 150,000 - 344,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY in the United States seeks a Solution Senior Manager in Supply Chain Manufacturing Operations to lead the design, build, test, and scale of AI-enabled manufacturing solutions. You will guide cross-functional teams and translate manufacturing priorities into production-ready assets across platforms and data models.

You will own strategy, governance, risk management and repeatable patterns, partnering with data engineers, AI engineers, and business leaders to deliver differentiated, scalable

Qualifications

• To qualify for the role, you must have a bachelor’s degree in engineering, computer science, data science, information systems, manufacturing, supply chain, operations, or a related discipline.
• No less than 5–7 years of relevant experience spanning AI solution development, industrial data platforms, digital manufacturing, manufacturing technology, supply chain consulting, data engineering, software development, or a related field.
• Demonstrated experience building working AI, data, analytics, or software solutions rather than solely defining strategies, managing programs, or delivering advisory services.
• Experience developing manufacturing data platforms, industrial data pipelines, common data models, semantic layers, ontologies, or knowledge graphs.
• Experience designing or implementing RAG-based applications, AI copilots, intelligent search, conversational interfaces, or agentic workflows.
• Experience with data modeling across operational, manufacturing, engineering, maintenance, quality, or supply chain domains.
• Experience taking manufacturing use cases from problem definition through architecture, build, configuration, testing, demonstration, and reusable solution packaging.
• Experience integrating data from manufacturing and enterprise systems, including structured, unstructured, time-series, event, image, and document sources.
• Experience using programming, scripting, low-code, no-code, data-engineering, AI-development, or application-development tools to produce working solutions.
• Experience creating technical documentation, reference architectures, data-model specifications, test plans, demonstrations, and deployment guidance.
• Demonstrated experience leading Managers and multidisciplinary technical teams through iterative solution-development cycles, including work planning, delegation, review, feedback, performance management, and capability building.
• Experience influencing senior stakeholders, supporting pursuits and commercial decisions, managing solution-development risks and investments, and operating effectively in a primarily internal solution-building role with selective client interaction.
• Ability to travel up to 50%.

Responsibilities

• Set the vision, roadmap, investment priorities, and quality standards for a portfolio of AI-enabled manufacturing solutions, prototypes, accelerators, demonstrations, and reusable solution components.
• Lead Managers and multidisciplinary teams through concept definition, architecture, build, testing, release, adoption, and continuous improvement while remaining hands-on to challenge technical decisions.
• Translate manufacturing and supply chain priorities into AI use cases, value hypotheses, user stories, functional and technical requirements, data and model requirements, acceptance criteria, and measurable outcomes.
• Own solution governance, including architecture decisions, responsible AI, cybersecurity, data privacy, quality, risk, release readiness, documentation, and compliance with firm development standards.
• Direct the design of manufacturing data platforms that connect and contextualize data from MES/MOM, ERP, historians, SCADA, PLC, IoT, quality, maintenance, laboratory, warehouse, engineering, document, image, and enterprise systems.

Education

Bachelor's degree in engineering, computer science, data science, information systems, manufacturing, supply chain, operations, or a related discipline

No less than 5–7 years of relevant experience spanning AI solution development, industrial data platforms, digital manufacturing, manufacturing technology, supply chain consulting, data engineering, software development, or a related field

Demonstrated experience building working AI, data, analytics, or software solutions rather than solely defining strategies, managing programs, or delivering advisory services

Experience developing manufacturing data platforms, industrial data pipelines, common data models, semantic layers, ontologies, or knowledge graphs

Experience designing or implementing RAG-based applications, AI copilots, intelligent search, conversational interfaces, or agentic workflows

Experience with data modeling across operational, manufacturing, engineering, maintenance, quality, or supply chain domains

Experience taking manufacturing use cases from problem definition through architecture, build, configuration, testing, demonstration, and reusable solution packaging

Experience integrating data from manufacturing and enterprise systems, including structured, unstructured, time-series, event, image, and document sources

Experience using programming, scripting, low-code, no-code, data-engineering, AI-development, or application-development tools to produce working solutions

Experience creating technical documentation, reference architectures, data-model specifications, test plans, demonstrations, and deployment guidance

Demonstrated experience leading Managers and multidisciplinary technical teams through iterative solution-development cycles, including work planning, delegation, review, feedback, performance management, and capability building

Experience influencing senior stakeholders, supporting pursuits and commercial decisions, managing solution-development risks and investments, and operating effectively in a primarily internal solution-building role with selective client interaction

Ability to travel up to 50%

Job description

EY in the United States seeks a Solution Senior Manager in Supply Chain Manufacturing Operations to lead the design, build, test, and scale of AI-enabled manufacturing solutions. You will guide cross-functional teams and translate manufacturing priorities into production-ready assets across platforms and data models.

You will own strategy, governance, risk management and repeatable patterns, partnering with data engineers, AI engineers, and business leaders to deliver differentiated, scalable